Skip to main content

GWAS Data Analysis

  • Chapter
  • First Online:
Genome Data Analysis

Part of the book series: Learning Materials in Biosciences ((LMB))

  • 3516 Accesses

Abstract

In this chapter, we will analyze basic GWAS using gPLINK and HaploView, which are visual interfaces of the PLINK software. We will perform appropriate GWAS data set selection, obtain a summary of the statistics, and filter out data with a proper threshold. We will perform a GWAS and visualize the results with a Manhattan plot.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, Maller J, Sklar P, de Bakker PIW, Daly MJ & Sham PC(2007) PLINK: a toolset for whole-genome association and population-based linkage analysis. American Journal of Human Genetics, 81.

    Package: PLINK (including version number)

    Author: Shaun Purcell

    URL: ► http://pngu.mgh.harvard.edu/purcell/plink/

  2. 2.

    ► http://pngu.mgh.harvard.edu/~purcell/PLINK/gPLINK.shtml

Bibliography

  1. Barrett JC et al (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21(2):263–265. Epub 2004 Aug 5

    Article  CAS  Google Scholar 

  2. Purcell S et al (2007) PLINK: a toolset for whole-genome association and population-based linkage analysis. Am J Hum Genet 81(3):559–575. Epub 2007 Jul 25

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

1 Electronic Supplementary Material

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kim, J.H. (2019). GWAS Data Analysis. In: Genome Data Analysis. Learning Materials in Biosciences. Springer, Singapore. https://doi.org/10.1007/978-981-13-1942-6_16

Download citation

Publish with us

Policies and ethics